Evaluation model of rock burst risk in mining based on blind data theory

Due to the complexity of the geological conditions and deficiency of experimental data, uncertainty such as randomicity, vagueness, gray, unsureness widely exists in the influential factors of comprehensive evaluation of rock burst risks. Aimed at this point, it was suggested to apply the mathematic theory of blind information to the comprehensive index method for the assessment of rock burst risks, used blind data to express the uncertainty of the risk index, and thus put forward blind data form of the comprehensive index. The corresponding confidence levels of comprehensive index in different numerical value intervals were computed by the use of blind data algorithms, which consequently provides more overall evidence to judge the rockburst risk levels and overcomes the problem of absolutization in traditional methods. The case analysis indicates that blind data can consider influential factors better when evaluating rockburst risks and the coming result is more reliable.